TEST RESULTS AND DISCUSSION Sample Clauses

TEST RESULTS AND DISCUSSION. The algorithm that directly applies single-loop measurements to Equation (2-1) for speed estimates by using a constant g is identified as the “traditional algorithm” in this report. The traditional algorithm and the proposed region growing algorithm were tested against ground truth data for periods of 9, 12, and 15 20-second intervals (3, 4, and 5 minutes, respectively). Graphs of the actual versus plotted values with R2 values are provided in Figure 4-1, and a summary of the results is provided in Table 4-2. A perfect estimation would result in all data points forming a line of slope 1.0 starting at the origin. Therefore, data points falling under the ideal line were underestimated speeds, and those above the line were overestimated speeds. The proposed algorithm, based on the revised region growing concept, clearly provided superior speed estimates. The results of LV estimation are provided in Table 4-3. Comparisons are given in absolute differences for the entire day. Computation of more complex error measurements did not seem appropriate because LV volumes in general constituted less than 10 percent of the traffic at each location and, therefore, could be considered a somewhat “rare” event. Daily LV volume estimates were on average within 4.0 percent of the dual-loop estimated LV volumes. Station & Loop Code Loop Coeff. Beta Period Length (min) SSE SSE / Period Average % Error SSE SSE / Period Average % Error SSE SSE / Period Average % Error ES-167D _MS 2 1.01 345 38504 24339 16471 80 68 57 11.6% 10.7% 10.1% 12593 6369 4124 26 18 14 6.3% 5.5% 5.1% 00000 0000 0000 00 21 16 6.2% 5.9% 5.3% ES-172R MMS 2 0.92 345 34421 21293 14681 149 59 144 11.1% 10.1% 9.4% 16698 7208 4209 36 20 15 7.2% 6.1% 5.4% 10109 6275 3735 19 17 11 6.2% 5.7% 5.0% ES-209D _MN 2 1.01 345 34650 21713 15815 255 60 257 11.3% 10.4% 9.8% 15265 9800 6550 34 27 25 6.8% 6.5% 6.0% 13421 8808 5309 25 24 17 6.2% 5.8% 5.3% Station & Loop Code Period Length (min) Dual-Loop LV Volume Estimated LV Volume Error % Error ES-167D _MS 2 3 4 5 0000 0000 0000 2315 2317 2285 -54 -52 -84 2.28% 2.20% 3.55% ES-172R MMS 2 3 4 5 2566 2566 2566 0000 0000 0000 112 117 156 4.36% 4.56% 6.08% ES-209D _MN 2 3 4 5 2630 2630 2630 2823 2760 2602 193 130 -28 7.34% 4.94% 1.06% Because it is true that intervals containing LVs would naturally have a higher occupancy variance, one might question, on the basis of heteroskedasticity concerns, whether it is valid to use R2 values as a measure of goodness-of-fit for speed estimat...
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TEST RESULTS AND DISCUSSION. Cs-137 Fields: The test results for 137Cs are recorded in Tables 2 and 3. Table 2 provides the one- and two-blanket attenuation factors for the point-source geometry, which are the dose rate with the blanket divided by the dose rate without the blanket. Figure 1 shows how the blanket attenuation factors change with angle. Figure 2 shows how the dose rate from the distributed source geometry changes with distance for specific angles. The data points in Figures 1 and 2 are measured data, and this data was fitted with a curve so interpolations and extrapolations could be estimated. Angle (degrees) Dose rate w/o blanket (μR/h) Dose rate with 1 blanket (μR/h) Dose rate with 2 blankets (μR/h) Attenuation Factors 1 blanket 2 blankets 10 2750±62 950±25 225±15 0.35±0.013 0.08±0.006 20 2850±85 1390±28 450±21 0.49±0.02 0.16±0.009 30 2950±117 1800±37 750±27 0.61±0.031 0.25±0.014 90 3000±106 2150±52 1750±42 0.72±0.034 0.5±0.026 Table 3: Distributed 137Cs sources covered by one blanket at various distances 70 3750±100 4050±100 100 1850±100 2000±100 150 800±100 900±100 200 475±100 525±100 0.800 0.700 0.600 0.500 0.400 0.300 0.200 0.100 0.000 0 10 20 30 40 50 60 70 80 90 100 fit2 fit 1 2 blankets- raw data 1 blanket - raw data 60 85 110 135 160 185 210 30 deg 45 deg 30 deg 1/r^2 45 deg 1/r^2

Related to TEST RESULTS AND DISCUSSION

  • Results and Discussion Table 1 (top) shows the root mean square error (RMSE) between the three tests for different numbers of topics. These results show that all three tests largely agree with each other but as the sample size (number of topics) decreases, the agreement decreases. In line with the results found for 50 topics, the randomization and bootstrap tests agree more with the t-test than with each other. We looked at pairwise scatterplots of the three tests at the different topic sizes. While there is some disagreement among the tests at large p-values, i.e. those greater than 0.5, none of the tests would predict such a run pair to have a significant difference. More interesting to us is the behavior of the tests for run pairs with lower p-values. Table 1 (bottom) shows the RMSE among the three tests for run pairs that all three tests agreed had a p-value greater than 0.0001 and less than 0.5. In contrast to all pairs with p-values 0.0001 (Table 1 top), these run pairs are of more importance to the IR researcher since they are the runs that require a statistical test to judge the significance of the per- formance difference. For these run pairs, the randomization and t tests are much more in agreement with each other than the bootstrap is with either of the other two tests. Looking at scatterplots, we found that the bootstrap tracks the t-test very well but shows a systematic bias to produce p-values smaller than the t-test. As the number of topics de- creases, this bias becomes more pronounced. Figure 1 shows a pairwise scatterplot of the three tests when the number of topics is 10. The randomization test also tends to produce smaller p-values than the t-test for run pairs where the t- test estimated a p-value smaller than 0.1, but at the same time, produces some p-values greater than the t-test’s. As Figure 1 shows, the bootstrap consistently gives smaller p- values than the t-test for these smaller p-values. While the bootstrap and the randomization test disagree with each other more than with the t-test, Figure 1 shows that for a low number of topics, the randomization test shows less noise in its agreement with the bootstrap com- pared to the t-test for small p-values.

  • Test Results The employer, upon request from an employee or former employee, will provide the confidential written report issued pursuant to 4.9 of the Canadian Model in respect to that employee or former employee.

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  • SUSPENSION AND DISCIPLINE 21.01 Discipline may be imposed where just cause exists and will be levied in a timely fashion. Generally, discipline is intended to correct undesirable behaviour or conduct and, where appropriate, shall be progressive in nature. 21.02 Prior to any discipline being imposed, the employee will be given notice in writing to attend a meeting, during which there shall be an opportunity for full discussion between the employee and the employee’s Manager. The notice will contain the subject matter to be discussed at the meeting and the employee shall be advised of his/her right to have an Association representative attend as an advisor. The management representative also has the right to have a labour relations representative attend as an advisor. At the meeting the employee and the Association representative may make representations and ask questions concerning the events and circumstances. Unless otherwise agreed, the unavailability of an advisor will not delay the meeting for more than one (1) working day from the date of notification to the employee. 21.03 When an employee is required to attend a meeting, the purpose of which is to render a disciplinary decision concerning him or her, the employee is entitled to have, at his or her request, a representative of the Association attend the meeting. Where practicable, the employee shall receive a minimum of one (1) day’s notice of such a meeting. The Employer will agree where possible to an additional day of extension where the Association representative is unavailable. 21.04 The employee and the Association representative shall be notified in writing of any disciplinary action except an oral warning, taken against the employee by the Company within a reasonable period of time of that action having been taken. 21.05 When an employee is required to attend a meeting, the purpose of which is to demote or terminate him/her for non-disciplinary reasons, he/she is entitled to have, at his/her request, a representative of the Association attend the meeting. Where practicable, the employee shall receive a minimum of one (1) day’s notice of such a meeting. The Employer will agree where possible to an additional day of extension where the Association representative is unavailable. 21.06 When any discipline is found to be unjustified all documents referring to the discipline imposed shall be removed as soon as reasonably possible from the employee’s record and destroyed. 21.07 NAV CANADA agrees not to introduce as evidence in a hearing relating to disciplinary action any document or written statement concerning the conduct of an employee unless that employee has been provided with a copy of that document or statement within a reasonable period before that hearing. 21.08 Any document or written statement to disciplinary action, which may have been placed on the NAV CANADA file of an employee shall be removed and destroyed after two (2) years have elapsed since the disciplinary action was taken, provided that no further disciplinary action has been recorded during this period. The Employer shall inform the employee in writing of the destruction of any document or written statement related to disciplinary action. 21.09 The NAV CANADA Code of Business Conduct will not be interpreted as restricting an employee from exercising his or her obligations flowing from the ethical standards of the professional body to which the employee belongs. 21.10 NAV CANADA agrees to make available to each employee covered by this agreement the NAV CANADA Code of Business Conduct and any subsequent amendments made thereto. 21.11 Employees who, in good faith, raise a concern or report any clear or suspected illegal, unethical or improper acts or activities shall not be disciplined nor adversely affected as a result of reporting the violation.

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